Nucleus Global
Healthcare
DataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist at Nucleus Global. Skills: Data Science, Machine Learning, AI, GenAI. Integrate cloud services into workflows. Integrate modern data platforms into workflows”
What You'll Achieve.
Deliver measurable impact
Industry & Context.
Statistical analysis; Analytical foundations
What They're Looking For.
Must Have
Extensive experience in Data Science, Extensive experience in Machine Learning, Extensive experience applying AI, Extensive experience applying NLP, BSc or advanced degree, Python proficiency, SQL proficiency, Experience with data visualization tools, Experience building ML solutions, Experience deploying ML solutions, Experience building NLP solutions, Experience deploying NLP solutions, Hands-on experience with LLMs, Hands-on experience with GenAI platforms, Experience working with cloud platforms, Statistical foundations, Analytical foundations, Cross-functional communication
Nice to Have
Experience with Spark, Experience with Hadoop, Experience with TensorFlow, Experience with large-scale data processing, Healthcare experience, Pharmaceutical experience, Life sciences experience, Software engineering experience, Application deployment experience, PhD preferred
What You'll Do.
Integrate cloud services into workflows
Integrate modern data platforms into workflows
Create reusable tools
Create reusable frameworks
Scale insights across clients
Scale insights across projects
Iterate on existing code
Maintain existing code
Ensure accuracy of outputs
Ensure reliability of outputs
Ensure maintainability of outputs
Partner with senior data scientists
Partner with engineers
Partner with strategists
Partner with client teams
Deliver measurable impact
How You'll Work.
Team & Collaboration
Senior data scientists; Engineers; Strategists; Client teams; Diverse teams
Communication Scope
Cross-functional communication; Translate between technical and non-technical stakeholders
Full Job Description
Data Scientist (AI integrate cloud services and modern data platforms into analytical workflows. Create reusable tools and frameworks that scale insights across clients and projects. Review, iterate on, and maintain existing code and analytical outputs to ensure accuracy, reliability, and long-term maintainability. Partner with senior data scientists, engineers, strategists, and client teams to deliver measurable impact. What We’re Looking For Extensive experience in Data Science, Machine Learning, applying AI, NLP or related fields. BSc and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field Strong Python and SQL skills; comfortable working with relational database structures including querying, designing schemas, and building data models; experience with data visualization tools (eg PowerBI, Tableau) Experience building and deploying ML/NLP solutions in production environments. Hands-on experience with LLMs and GenAI platforms (e. g. OpenAI, Anthropic, Azure OpenAI). Familiarity with RAG, vector databases, prompt engineering, and AI application development. Experience working with cloud platforms (AWS, Azure, or GCP). Strong statistical and analytical foundations. Strong cross-functional communication skills; able to work across diverse teams, translate between technical and non-technical stakeholders. Nice to Have Experience with Spark, Hadoop, TensorFlow, or large-scale data processing. Healthcare, pharmaceutical, or life sciences experience. Software engineering and application deployment experience. Why Join Us? Build AI products that are used in real-world healthcare settings. Work on cutting-edge GenAI initiatives with significant autonomy. Remote-first, flexible working environment. Competitive salary, benefits, and private medical insurance. Collaborative culture focused on innovation, learning, and impact. If you’re excited about applying machine learning and generative AI to meaningful healthcare challe
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